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Yeo XY, Kwon S, Rinai KR, Lee S, Jung S, Park R. A Consolidated Understanding of the Contribution of Redox Dysregulation in the Development of Hearing Impairment. Antioxidants (Basel) 2024; 13:598. [PMID: 38790703 PMCID: PMC11118506 DOI: 10.3390/antiox13050598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 04/26/2024] [Accepted: 05/09/2024] [Indexed: 05/26/2024] Open
Abstract
The etiology of hearing impairment is multifactorial, with contributions from both genetic and environmental factors. Although genetic studies have yielded valuable insights into the development and function of the auditory system, the contribution of gene products and their interaction with alternate environmental factors for the maintenance and development of auditory function requires further elaboration. In this review, we provide an overview of the current knowledge on the role of redox dysregulation as the converging factor between genetic and environmental factor-dependent development of hearing loss, with a focus on understanding the interaction of oxidative stress with the physical components of the peripheral auditory system in auditory disfunction. The potential involvement of molecular factors linked to auditory function in driving redox imbalance is an important promoter of the development of hearing loss over time.
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Affiliation(s)
- Xin Yi Yeo
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore;
- Department of Medical Science, College of Medicine, CHA University, Seongnam 13488, Republic of Korea;
| | - Soohyun Kwon
- Department of Medical Science, College of Medicine, CHA University, Seongnam 13488, Republic of Korea;
- Department of BioNanotechnology, Gachon University, Seongnam 13120, Republic of Korea
| | - Kimberley R. Rinai
- Department of Life Science, College of Medicine, CHA University, Seongnam 13488, Republic of Korea;
| | - Sungsu Lee
- Department of Otolaryngology-Head and Neck Surgery, Chonnam National University Hospital and Medical School, Gwangju 61469, Republic of Korea;
| | - Sangyong Jung
- Department of Medical Science, College of Medicine, CHA University, Seongnam 13488, Republic of Korea;
| | - Raekil Park
- Department of Biomedical Science and Engineering, Gwangju Institute of Science & Technology (GIST), Gwangju 61005, Republic of Korea
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2
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Kent RD. The Feel of Speech: Multisystem and Polymodal Somatosensation in Speech Production. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2024; 67:1424-1460. [PMID: 38593006 DOI: 10.1044/2024_jslhr-23-00575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/11/2024]
Abstract
PURPOSE The oral structures such as the tongue and lips have remarkable somatosensory capacities, but understanding the roles of somatosensation in speech production requires a more comprehensive knowledge of somatosensation in the speech production system in its entirety, including the respiratory, laryngeal, and supralaryngeal subsystems. This review was conducted to summarize the system-wide somatosensory information available for speech production. METHOD The search was conducted with PubMed/Medline and Google Scholar for articles published until November 2023. Numerous search terms were used in conducting the review, which covered the topics of psychophysics, basic and clinical behavioral research, neuroanatomy, and neuroscience. RESULTS AND CONCLUSIONS The current understanding of speech somatosensation rests primarily on the two pillars of psychophysics and neuroscience. The confluence of polymodal afferent streams supports the development, maintenance, and refinement of speech production. Receptors are both canonical and noncanonical, with the latter occurring especially in the muscles innervated by the facial nerve. Somatosensory representation in the cortex is disproportionately large and provides for sensory interactions. Speech somatosensory function is robust over the lifespan, with possible declines in advanced aging. The understanding of somatosensation in speech disorders is largely disconnected from research and theory on speech production. A speech somatoscape is proposed as the generalized, system-wide sensation of speech production, with implications for speech development, speech motor control, and speech disorders.
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Foffani G. To be or not to be hallucinating: Implications of hypnagogic/hypnopompic experiences and lucid dreaming for brain disorders. PNAS NEXUS 2024; 3:pgad442. [PMID: 38178978 PMCID: PMC10766414 DOI: 10.1093/pnasnexus/pgad442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 12/06/2023] [Indexed: 01/06/2024]
Abstract
The boundaries between waking and sleeping-when falling asleep (hypnagogic) or waking up (hypnopompic)-can be challenging for our ability to monitor and interpret reality. Without proper understanding, bizarre but relatively normal hypnagogic/hypnopompic experiences can be misinterpreted as psychotic hallucinations (occurring, by definition, in the fully awake state), potentially leading to stigma and misdiagnosis in clinical contexts and to misconception and bias in research contexts. This Perspective proposes that conceptual and practical understanding for differentiating hallucinations from hypnagogic/hypnopompic experiences may be offered by lucid dreaming, the state in which one is aware of dreaming while sleeping. I first introduce a possible systematization of the phenomenological range of hypnagogic/hypnopompic experiences that can occur in the transition from awake to REM dreaming (including hypnagogic perceptions, transition symptoms, sleep paralysis, false awakenings, and out-of-body experiences). I then outline how metacognitive strategies used by lucid dreamers to gain/confirm oneiric lucidity could be tested for better differentiating hypnagogic/hypnopompic experiences from hallucinations. The relevance of hypnagogic/hypnopompic experiences and lucid dreaming is analyzed for schizophrenia and narcolepsy, and discussed for neurodegenerative diseases, particularly Lewy-body disorders (i.e. Parkinson's disease, Parkinson's disease dementia, and dementia with Lewy bodies), offering testable hypotheses for empirical investigation. Finally, emotionally positive lucid dreams triggered or enhanced by training/induction strategies or by a pathological process may have intrinsic therapeutic value if properly recognized and guided. The overall intention is to raise awareness and foster further research about the possible diagnostic, prognostic, and therapeutic implications of hypnagogic/hypnopompic experiences and lucid dreaming for brain disorders.
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Affiliation(s)
- Guglielmo Foffani
- HM CINAC (Centro Integral de Neurociencias Abarca Campal), Hospital Universitario HM Puerta del Sur, HM Hospitales, Madrid 28938, Spain
- Hospital Nacional de Parapléjicos, Toledo 45004, Spain
- CIBERNED, Instituto de Salud Carlos III, Madrid 28031, Spain
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Tu Y, Li Z, Zhang L, Zhang H, Bi Y, Yue L, Hu L. Pain-preferential thalamocortical neural dynamics across species. Nat Hum Behav 2024; 8:149-163. [PMID: 37813996 DOI: 10.1038/s41562-023-01714-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 09/01/2023] [Indexed: 10/11/2023]
Abstract
Searching for pain-preferential neural activity is essential for understanding and managing pain. Here, we investigated the preferential role of thalamocortical neural dynamics in encoding pain using human neuroimaging and rat electrophysiology across three studies. In study 1, we found that painful stimuli preferentially activated the medial-dorsal (MD) thalamic nucleus and its functional connectivity with the dorsal anterior cingulate cortex (dACC) and insula in two human functional magnetic resonance imaging (fMRI) datasets (n = 399 and n = 25). In study 2, human fMRI and electroencephalography fusion analyses (n = 220) revealed that pain-preferential MD responses were identified 89-295 ms after painful stimuli. In study 3, rat electrophysiology further showed that painful stimuli preferentially activated MD neurons and MD-ACC connectivity. These converging cross-species findings provided evidence for pain-preferential thalamocortical neural dynamics, which could guide future pain evaluation and management strategies.
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Affiliation(s)
- Yiheng Tu
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
| | - Zhenjiang Li
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Libo Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Huijuan Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Yanzhi Bi
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Lupeng Yue
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Li Hu
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
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Masi M. An evidence-based critical review of the mind-brain identity theory. Front Psychol 2023; 14:1150605. [PMID: 37965649 PMCID: PMC10641890 DOI: 10.3389/fpsyg.2023.1150605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 09/18/2023] [Indexed: 11/16/2023] Open
Abstract
In the philosophy of mind, neuroscience, and psychology, the causal relationship between phenomenal consciousness, mentation, and brain states has always been a matter of debate. On the one hand, material monism posits consciousness and mind as pure brain epiphenomena. One of its most stringent lines of reasoning relies on a 'loss-of-function lesion premise,' according to which, since brain lesions and neurochemical modifications lead to cognitive impairment and/or altered states of consciousness, there is no reason to doubt the mind-brain identity. On the other hand, dualism or idealism (in one form or another) regard consciousness and mind as something other than the sole product of cerebral activity pointing at the ineffable, undefinable, and seemingly unphysical nature of our subjective qualitative experiences and its related mental dimension. Here, several neuroscientific findings are reviewed that question the idea that posits phenomenal experience as an emergent property of brain activity, and argue that the premise of material monism is based on a logical correlation-causation fallacy. While these (mostly ignored) findings, if considered separately from each other, could, in principle, be recast into a physicalist paradigm, once viewed from an integral perspective, they substantiate equally well an ontology that posits mind and consciousness as a primal phenomenon.
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Affiliation(s)
- Marco Masi
- Independent Researcher, Knetzgau, Germany
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6
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Landelle C, Caron-Guyon J, Nazarian B, Anton J, Sein J, Pruvost L, Amberg M, Giraud F, Félician O, Danna J, Kavounoudias A. Beyond sense-specific processing: decoding texture in the brain from touch and sonified movement. iScience 2023; 26:107965. [PMID: 37810223 PMCID: PMC10551894 DOI: 10.1016/j.isci.2023.107965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 07/08/2023] [Accepted: 09/15/2023] [Indexed: 10/10/2023] Open
Abstract
Texture, a fundamental object attribute, is perceived through multisensory information including touch and auditory cues. Coherent perceptions may rely on shared texture representations across different senses in the brain. To test this hypothesis, we delivered haptic textures coupled with a sound synthesizer to generate real-time textural sounds. Participants completed roughness estimation tasks with haptic, auditory, or bimodal cues in an MRI scanner. Somatosensory, auditory, and visual cortices were all activated during haptic and auditory exploration, challenging the traditional view that primary sensory cortices are sense-specific. Furthermore, audio-tactile integration was found in secondary somatosensory (S2) and primary auditory cortices. Multivariate analyses revealed shared spatial activity patterns in primary motor and somatosensory cortices, for discriminating texture across both modalities. This study indicates that primary areas and S2 have a versatile representation of multisensory textures, which has significant implications for how the brain processes multisensory cues to interact more efficiently with our environment.
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Affiliation(s)
- C. Landelle
- McGill University, McConnell Brain Imaging Centre, Department of Neurology and Neurosurgery, Montreal Neurological Institute, Montreal, QC, Canada
- Aix-Marseille Université, CNRS, Laboratoire de Neurosciences Cognitives, LNC UMR 7291, Marseille, France
| | - J. Caron-Guyon
- Aix-Marseille Université, CNRS, Laboratoire de Neurosciences Cognitives, LNC UMR 7291, Marseille, France
- University of Louvain, Institute for Research in Psychology (IPSY) & Institute of Neuroscience (IoNS), Louvain Bionics Center, Crossmodal Perception and Plasticity Laboratory, Louvain-la-Neuve, Belgium
| | - B. Nazarian
- Aix-Marseille Université, CNRS, Centre IRM-INT@CERIMED, Institut de Neurosciences de la Timone, INT UMR 7289, Marseille, France
| | - J.L. Anton
- Aix-Marseille Université, CNRS, Centre IRM-INT@CERIMED, Institut de Neurosciences de la Timone, INT UMR 7289, Marseille, France
| | - J. Sein
- Aix-Marseille Université, CNRS, Centre IRM-INT@CERIMED, Institut de Neurosciences de la Timone, INT UMR 7289, Marseille, France
| | - L. Pruvost
- Aix-Marseille Université, CNRS, Perception, Représentations, Image, Son, Musique, PRISM UMR 7061, Marseille, France
| | - M. Amberg
- Université Lille, Laboratoire d'Electrotechnique et d'Electronique de Puissance, EA 2697-L2EP, Lille, France
| | - F. Giraud
- Université Lille, Laboratoire d'Electrotechnique et d'Electronique de Puissance, EA 2697-L2EP, Lille, France
| | - O. Félician
- Aix Marseille Université, INSERM, Institut des Neurosciences des Systèmes, INS UMR 1106, Marseille, France
| | - J. Danna
- Aix-Marseille Université, CNRS, Laboratoire de Neurosciences Cognitives, LNC UMR 7291, Marseille, France
- Université de Toulouse, CNRS, Laboratoire Cognition, Langues, Langage, Ergonomie, CLLE UMR5263, Toulouse, France
| | - A. Kavounoudias
- Aix-Marseille Université, CNRS, Laboratoire de Neurosciences Cognitives, LNC UMR 7291, Marseille, France
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Wang S, Su Q, Qin W, Yu C, Liang M. Both fine-grained and coarse-grained spatial patterns of neural activity measured by functional MRI show preferential encoding of pain in the human brain. Neuroimage 2023; 272:120049. [PMID: 36963739 DOI: 10.1016/j.neuroimage.2023.120049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 01/31/2023] [Accepted: 03/21/2023] [Indexed: 03/26/2023] Open
Abstract
How pain emerges from human brain remains an unresolved question in pain neuroscience. Neuroimaging studies have suggested that all brain areas activated by painful stimuli were also activated by tactile stimuli, and vice versa. Nonetheless, pain-preferential spatial patterns of voxel-level activation in the brain have been observed when distinguishing painful and tactile brain activations using multivariate pattern analysis (MVPA). According to two hypotheses, the neural activity pattern preferentially encoding pain could exist at a global, coarse-grained, regional level, corresponding to the "pain connectome" hypothesis proposing that pain-preferential information may be encoded by the synchronized activity across multiple distant brain regions, and/or exist at a local, fine-grained, voxel level, corresponding to the "intermingled specialized/preferential neurons" hypothesis proposing that neurons responding specially or preferentially to pain could be present and intermingled with non-pain neurons within a voxel. Here, we systematically investigated the spatial scales of pain-distinguishing information in the human brain measured by fMRI using machine learning techniques, and found that pain-distinguishing information could be detected at both coarse-grained spatial scales across widely distributed brain regions and fine-grained spatial scales within many local areas. Importantly, the spatial distribution of pain-distinguishing information in the brain varies across individuals and such inter-individual variations may be related to a person's trait about pain perception, particularly the pain vigilance and awareness. These results provide new insights into the long-standing question of how pain is represented in the human brain and help the identification of characteristic neuroimaging measurements of pain.
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Affiliation(s)
- Sijia Wang
- School of Medical Technology, School of Medical Imaging, Tianjin Key Laboratory of Functional Imaging, The Province and Ministry Cosponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Medical University, Tianjin 300070, China
| | - Qian Su
- Department of Molecular Imaging and Nuclear Medicine, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for China, Tianjin 300060, China
| | - Wen Qin
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Chunshui Yu
- School of Medical Technology, School of Medical Imaging, Tianjin Key Laboratory of Functional Imaging, The Province and Ministry Cosponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Medical University, Tianjin 300070, China; Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Meng Liang
- School of Medical Technology, School of Medical Imaging, Tianjin Key Laboratory of Functional Imaging, The Province and Ministry Cosponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Medical University, Tianjin 300070, China.
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8
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Westlin C, Theriault JE, Katsumi Y, Nieto-Castanon A, Kucyi A, Ruf SF, Brown SM, Pavel M, Erdogmus D, Brooks DH, Quigley KS, Whitfield-Gabrieli S, Barrett LF. Improving the study of brain-behavior relationships by revisiting basic assumptions. Trends Cogn Sci 2023; 27:246-257. [PMID: 36739181 PMCID: PMC10012342 DOI: 10.1016/j.tics.2022.12.015] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 12/23/2022] [Accepted: 12/29/2022] [Indexed: 02/05/2023]
Abstract
Neuroimaging research has been at the forefront of concerns regarding the failure of experimental findings to replicate. In the study of brain-behavior relationships, past failures to find replicable and robust effects have been attributed to methodological shortcomings. Methodological rigor is important, but there are other overlooked possibilities: most published studies share three foundational assumptions, often implicitly, that may be faulty. In this paper, we consider the empirical evidence from human brain imaging and the study of non-human animals that calls each foundational assumption into question. We then consider the opportunities for a robust science of brain-behavior relationships that await if scientists ground their research efforts in revised assumptions supported by current empirical evidence.
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Affiliation(s)
| | - Jordan E Theriault
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Yuta Katsumi
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Alfonso Nieto-Castanon
- Department of Speech, Language, and Hearing Sciences, Boston University, Boston, MA, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Aaron Kucyi
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, PA, USA
| | - Sebastian F Ruf
- Department of Civil and Environmental Engineering, Northeastern University, Boston, MA, USA
| | - Sarah M Brown
- Department of Computer Science and Statistics, University of Rhode Island, Kingston, RI, USA
| | - Misha Pavel
- Khoury College of Computer Sciences, Northeastern University, Boston, MA, USA; Bouvé College of Health Sciences, Northeastern University, Boston, MA, USA
| | - Deniz Erdogmus
- Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA
| | - Dana H Brooks
- Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA
| | - Karen S Quigley
- Department of Psychology, Northeastern University, Boston, MA, USA
| | | | - Lisa Feldman Barrett
- Department of Psychology, Northeastern University, Boston, MA, USA; A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA; Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
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9
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Lohse M, Zimmer-Harwood P, Dahmen JC, King AJ. Integration of somatosensory and motor-related information in the auditory system. Front Neurosci 2022; 16:1010211. [PMID: 36330342 PMCID: PMC9622781 DOI: 10.3389/fnins.2022.1010211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 09/28/2022] [Indexed: 11/30/2022] Open
Abstract
An ability to integrate information provided by different sensory modalities is a fundamental feature of neurons in many brain areas. Because visual and auditory inputs often originate from the same external object, which may be located some distance away from the observer, the synthesis of these cues can improve localization accuracy and speed up behavioral responses. By contrast, multisensory interactions occurring close to the body typically involve a combination of tactile stimuli with other sensory modalities. Moreover, most activities involving active touch generate sound, indicating that stimuli in these modalities are frequently experienced together. In this review, we examine the basis for determining sound-source distance and the contribution of auditory inputs to the neural encoding of space around the body. We then consider the perceptual consequences of combining auditory and tactile inputs in humans and discuss recent evidence from animal studies demonstrating how cortical and subcortical areas work together to mediate communication between these senses. This research has shown that somatosensory inputs interface with and modulate sound processing at multiple levels of the auditory pathway, from the cochlear nucleus in the brainstem to the cortex. Circuits involving inputs from the primary somatosensory cortex to the auditory midbrain have been identified that mediate suppressive effects of whisker stimulation on auditory thalamocortical processing, providing a possible basis for prioritizing the processing of tactile cues from nearby objects. Close links also exist between audition and movement, and auditory responses are typically suppressed by locomotion and other actions. These movement-related signals are thought to cancel out self-generated sounds, but they may also affect auditory responses via the associated somatosensory stimulation or as a result of changes in brain state. Together, these studies highlight the importance of considering both multisensory context and movement-related activity in order to understand how the auditory cortex operates during natural behaviors, paving the way for future work to investigate auditory-somatosensory interactions in more ecological situations.
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Jotwani ML, Wu Z, Lunde CE, Sieberg CB. The missing mechanistic link: Improving behavioral treatment efficacy for pediatric chronic pain. FRONTIERS IN PAIN RESEARCH (LAUSANNE, SWITZERLAND) 2022; 3:1022699. [PMID: 36313218 PMCID: PMC9614027 DOI: 10.3389/fpain.2022.1022699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 09/26/2022] [Indexed: 11/07/2022]
Abstract
Pediatric chronic pain is a significant global issue, with biopsychosocial factors contributing to the complexity of the condition. Studies have explored behavioral treatments for pediatric chronic pain, but these treatments have mixed efficacy for improving functional and psychological outcomes. Furthermore, the literature lacks an understanding of the biobehavioral mechanisms contributing to pediatric chronic pain treatment response. In this mini review, we focus on how neuroimaging has been used to identify biobehavioral mechanisms of different conditions and how this modality can be used in mechanistic clinical trials to identify markers of treatment response for pediatric chronic pain. We propose that mechanistic clinical trials, utilizing neuroimaging, are warranted to investigate how to optimize the efficacy of behavioral treatments for pediatric chronic pain patients across pain types and ages.
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Affiliation(s)
- Maya L. Jotwani
- Department of Psychiatry and Behavioral Sciences, Biobehavioral Pain Innovations Lab, Boston Children's Hospital, Boston, MA, United States,Pain and Affective Neuroscience Center, Department of Anesthesiology, Critical Care, Pain Medicine, Boston Children's Hospital, Boston, MA, United States
| | - Ziyan Wu
- Department of Psychiatry and Behavioral Sciences, Biobehavioral Pain Innovations Lab, Boston Children's Hospital, Boston, MA, United States,Pain and Affective Neuroscience Center, Department of Anesthesiology, Critical Care, Pain Medicine, Boston Children's Hospital, Boston, MA, United States,Department of Psychiatry, Harvard Medical School, Boston, MA, United States
| | - Claire E. Lunde
- Department of Psychiatry and Behavioral Sciences, Biobehavioral Pain Innovations Lab, Boston Children's Hospital, Boston, MA, United States,Pain and Affective Neuroscience Center, Department of Anesthesiology, Critical Care, Pain Medicine, Boston Children's Hospital, Boston, MA, United States,Nuffield Department of Women's and Reproductive Health, Medical Sciences Division, University of Oxford, Oxford, United Kingdom
| | - Christine B. Sieberg
- Department of Psychiatry and Behavioral Sciences, Biobehavioral Pain Innovations Lab, Boston Children's Hospital, Boston, MA, United States,Pain and Affective Neuroscience Center, Department of Anesthesiology, Critical Care, Pain Medicine, Boston Children's Hospital, Boston, MA, United States,Department of Psychiatry, Harvard Medical School, Boston, MA, United States,Correspondence: Christine B. Sieberg
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11
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Katsumi Y, Theriault JE, Quigley KS, Barrett LF. Allostasis as a core feature of hierarchical gradients in the human brain. Netw Neurosci 2022; 6:1010-1031. [PMID: 38800458 PMCID: PMC11117115 DOI: 10.1162/netn_a_00240] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 02/11/2022] [Indexed: 05/29/2024] Open
Abstract
This paper integrates emerging evidence from two broad streams of scientific literature into one common framework: (a) hierarchical gradients of functional connectivity that reflect the brain's large-scale structural architecture (e.g., a lamination gradient in the cerebral cortex); and (b) approaches to predictive processing and one of its specific instantiations called allostasis (i.e., the predictive regulation of energetic resources in the service of coordinating the body's internal systems). This synthesis begins to sketch a coherent, neurobiologically inspired framework suggesting that predictive energy regulation is at the core of human brain function, and by extension, psychological and behavioral phenomena, providing a shared vocabulary for theory building and knowledge accumulation.
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Affiliation(s)
- Yuta Katsumi
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Karen S. Quigley
- Department of Psychology, Northeastern University, Boston, MA, USA
| | - Lisa Feldman Barrett
- Department of Psychology, Northeastern University, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
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12
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Bailey KM, Giordano BL, Kaas AL, Smith FW. Decoding sounds depicting hand-object interactions in primary somatosensory cortex. Cereb Cortex 2022; 33:3621-3635. [PMID: 36045002 DOI: 10.1093/cercor/bhac296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 05/24/2022] [Accepted: 07/07/2022] [Indexed: 11/13/2022] Open
Abstract
Neurons, even in the earliest sensory regions of cortex, are subject to a great deal of contextual influences from both within and across modality connections. Recent work has shown that primary sensory areas can respond to and, in some cases, discriminate stimuli that are not of their target modality: for example, primary somatosensory cortex (SI) discriminates visual images of graspable objects. In the present work, we investigated whether SI would discriminate sounds depicting hand-object interactions (e.g. bouncing a ball). In a rapid event-related functional magnetic resonance imaging experiment, participants listened attentively to sounds from 3 categories: hand-object interactions, and control categories of pure tones and animal vocalizations, while performing a one-back repetition detection task. Multivoxel pattern analysis revealed significant decoding of hand-object interaction sounds within SI, but not for either control category. Crucially, in the hand-sensitive voxels defined from an independent tactile localizer, decoding accuracies were significantly higher for hand-object interactions compared to pure tones in left SI. Our findings indicate that simply hearing sounds depicting familiar hand-object interactions elicit different patterns of activity in SI, despite the complete absence of tactile stimulation. These results highlight the rich contextual information that can be transmitted across sensory modalities even to primary sensory areas.
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Affiliation(s)
- Kerri M Bailey
- School of Psychology, University of East Anglia, Norwich NR4 7TJ, United Kingdom
| | - Bruno L Giordano
- Institut des Neurosciences de La Timone, CNRS UMR 7289, Université Aix-Marseille, Marseille CNRS UMR 7289, France
| | - Amanda L Kaas
- Department of Cognitive Neuroscience, Maastricht University, Maastricht 6229 EV, The Netherlands
| | - Fraser W Smith
- School of Psychology, University of East Anglia, Norwich NR4 7TJ, United Kingdom
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13
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López-Bendito G, Aníbal-Martínez M, Martini FJ. Cross-Modal Plasticity in Brains Deprived of Visual Input Before Vision. Annu Rev Neurosci 2022; 45:471-489. [PMID: 35803589 DOI: 10.1146/annurev-neuro-111020-104222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Unimodal sensory loss leads to structural and functional changes in both deprived and nondeprived brain circuits. This process is broadly known as cross-modal plasticity. The evidence available indicates that cross-modal changes underlie the enhanced performances of the spared sensory modalities in deprived subjects. Sensory experience is a fundamental driver of cross-modal plasticity, yet there is evidence from early-visually deprived models supporting an additional role for experience-independent factors. These experience-independent factors are expected to act early in development and constrain neuronal plasticity at later stages. Here we review the cross-modal adaptations elicited by congenital or induced visual deprivation prior to vision. In most of these studies, cross-modal adaptations have been addressed at the structural and functional levels. Here, we also appraise recent data regarding behavioral performance in early-visually deprived models. However, further research is needed to explore how circuit reorganization affects their function and what brings about enhanced behavioral performance.
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Affiliation(s)
- Guillermina López-Bendito
- Instituto de Neurociencias de Alicante, Universidad Miguel Hernández-Consejo Superior de Investigaciones Científicas (UMH-CSIC), Sant Joan d'Alacant, Spain; ,
| | - Mar Aníbal-Martínez
- Instituto de Neurociencias de Alicante, Universidad Miguel Hernández-Consejo Superior de Investigaciones Científicas (UMH-CSIC), Sant Joan d'Alacant, Spain; ,
| | - Francisco J Martini
- Instituto de Neurociencias de Alicante, Universidad Miguel Hernández-Consejo Superior de Investigaciones Científicas (UMH-CSIC), Sant Joan d'Alacant, Spain; ,
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14
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Chae Y, Park HJ, Lee IS. Pain modalities in the body and brain: Current knowledge and future perspectives. Neurosci Biobehav Rev 2022; 139:104744. [PMID: 35716877 DOI: 10.1016/j.neubiorev.2022.104744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 05/29/2022] [Accepted: 06/11/2022] [Indexed: 11/16/2022]
Abstract
Development and validation of pain biomarkers has become a major issue in pain research. Recent advances in multimodal data acquisition have allowed researchers to gather multivariate and multilevel whole-body measurements in patients with pain conditions, and data analysis techniques such as machine learning have led to novel findings in neural biomarkers for pain. Most studies have focused on the development of a biomarker to predict the severity of pain with high precision and high specificity, however, a similar approach to discriminate different modalities of pain is lacking. Identification of more accurate and specific pain biomarkers will require an in-depth understanding of the modality specificity of pain. In this review, we summarize early and recent findings on the modality specificity of pain in the brain, with a focus on distinct neural activity patterns between chronic clinical and acute experimental pain, direct, social, and vicarious pain, and somatic and visceral pain. We also suggest future directions to improve our current strategy of pain management using our knowledge of modality-specific aspects of pain.
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Affiliation(s)
- Younbyoung Chae
- College of Korean Medicine, Kyung Hee University, Seoul, the Republic of Korea; Acupuncture & Meridian Science Research Center, Kyung Hee University, Seoul, the Republic of Korea
| | - Hi-Joon Park
- College of Korean Medicine, Kyung Hee University, Seoul, the Republic of Korea; Acupuncture & Meridian Science Research Center, Kyung Hee University, Seoul, the Republic of Korea
| | - In-Seon Lee
- College of Korean Medicine, Kyung Hee University, Seoul, the Republic of Korea; Acupuncture & Meridian Science Research Center, Kyung Hee University, Seoul, the Republic of Korea.
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15
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Petre B, Kragel P, Atlas LY, Geuter S, Jepma M, Koban L, Krishnan A, Lopez-Sola M, Losin EAR, Roy M, Woo CW, Wager TD. A multistudy analysis reveals that evoked pain intensity representation is distributed across brain systems. PLoS Biol 2022; 20:e3001620. [PMID: 35500023 PMCID: PMC9098029 DOI: 10.1371/journal.pbio.3001620] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 05/12/2022] [Accepted: 04/07/2022] [Indexed: 01/22/2023] Open
Abstract
Information is coded in the brain at multiple anatomical scales: locally, distributed across regions and networks, and globally. For pain, the scale of representation has not been formally tested, and quantitative comparisons of pain representations across regions and networks are lacking. In this multistudy analysis of 376 participants across 11 studies, we compared multivariate predictive models to investigate the spatial scale and location of evoked heat pain intensity representation. We compared models based on (a) a single most pain-predictive region or resting-state network; (b) pain-associated cortical-subcortical systems developed from prior literature ("multisystem models"); and (c) a model spanning the full brain. We estimated model accuracy using leave-one-study-out cross-validation (CV; 7 studies) and subsequently validated in 4 independent holdout studies. All spatial scales conveyed information about pain intensity, but distributed, multisystem models predicted pain 20% more accurately than any individual region or network and were more generalizable to multimodal pain (thermal, visceral, and mechanical) and specific to pain. Full brain models showed no predictive advantage over multisystem models. These findings show that multiple cortical and subcortical systems are needed to decode pain intensity, especially heat pain, and that representation of pain experience may not be circumscribed by any elementary region or canonical network. Finally, the learner generalization methods we employ provide a blueprint for evaluating the spatial scale of information in other domains.
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Affiliation(s)
- Bogdan Petre
- Dartmouth College, Hanover, New Hampshire, United States of America
| | - Philip Kragel
- University of Colorado Boulder, Colorado, United States of America
| | - Lauren Y. Atlas
- National Center for Complementary and Integrative Health, National Institutes of Health, Bethesda, Maryland, United States of America
- National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, United States of America
- National Institute on Drug Abuse, National Institutes of Health, Baltimore, Maryland, United States of America
| | - Stephan Geuter
- Johns Hopkins University, Baltimore, Maryland, United States of America
| | | | | | - Anjali Krishnan
- Brooklyn College of the City University of New York, Brooklyn, New York, United States of America
| | - Marina Lopez-Sola
- Department of Medicine, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
| | | | | | - Choong-Wan Woo
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Gyeonggi-do, Republic of Korea
| | - Tor D. Wager
- Dartmouth College, Hanover, New Hampshire, United States of America
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16
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Neural Encoding of Active Multi-Sensing Enhances Perceptual Decision-Making via a Synergistic Cross-Modal Interaction. J Neurosci 2022; 42:2344-2355. [PMID: 35091504 PMCID: PMC8936614 DOI: 10.1523/jneurosci.0861-21.2022] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 11/29/2021] [Accepted: 01/02/2022] [Indexed: 12/16/2022] Open
Abstract
Most perceptual decisions rely on the active acquisition of evidence from the environment involving stimulation from multiple senses. However, our understanding of the neural mechanisms underlying this process is limited. Crucially, it remains elusive how different sensory representations interact in the formation of perceptual decisions. To answer these questions, we used an active sensing paradigm coupled with neuroimaging, multivariate analysis, and computational modeling to probe how the human brain processes multisensory information to make perceptual judgments. Participants of both sexes actively sensed to discriminate two texture stimuli using visual (V) or haptic (H) information or the two sensory cues together (VH). Crucially, information acquisition was under the participants' control, who could choose where to sample information from and for how long on each trial. To understand the neural underpinnings of this process, we first characterized where and when active sensory experience (movement patterns) is encoded in human brain activity (EEG) in the three sensory conditions. Then, to offer a neurocomputational account of active multisensory decision formation, we used these neural representations of active sensing to inform a drift diffusion model of decision-making behavior. This revealed a multisensory enhancement of the neural representation of active sensing, which led to faster and more accurate multisensory decisions. We then dissected the interactions between the V, H, and VH representations using a novel information-theoretic methodology. Ultimately, we identified a synergistic neural interaction between the two unisensory (V, H) representations over contralateral somatosensory and motor locations that predicted multisensory (VH) decision-making performance.SIGNIFICANCE STATEMENT In real-world settings, perceptual decisions are made during active behaviors, such as crossing the road on a rainy night, and include information from different senses (e.g., car lights, slippery ground). Critically, it remains largely unknown how sensory evidence is combined and translated into perceptual decisions in such active scenarios. Here we address this knowledge gap. First, we show that the simultaneous exploration of information across senses (multi-sensing) enhances the neural encoding of active sensing movements. Second, the neural representation of active sensing modulates the evidence available for decision; and importantly, multi-sensing yields faster evidence accumulation. Finally, we identify a cross-modal interaction in the human brain that correlates with multisensory performance, constituting a putative neural mechanism for forging active multisensory perception.
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17
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Skirzewski M, Molotchnikoff S, Hernandez LF, Maya-Vetencourt JF. Multisensory Integration: Is Medial Prefrontal Cortex Signaling Relevant for the Treatment of Higher-Order Visual Dysfunctions? Front Mol Neurosci 2022; 14:806376. [PMID: 35110996 PMCID: PMC8801884 DOI: 10.3389/fnmol.2021.806376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 12/17/2021] [Indexed: 11/29/2022] Open
Abstract
In the mammalian brain, information processing in sensory modalities and global mechanisms of multisensory integration facilitate perception. Emerging experimental evidence suggests that the contribution of multisensory integration to sensory perception is far more complex than previously expected. Here we revise how associative areas such as the prefrontal cortex, which receive and integrate inputs from diverse sensory modalities, can affect information processing in unisensory systems via processes of down-stream signaling. We focus our attention on the influence of the medial prefrontal cortex on the processing of information in the visual system and whether this phenomenon can be clinically used to treat higher-order visual dysfunctions. We propose that non-invasive and multisensory stimulation strategies such as environmental enrichment and/or attention-related tasks could be of clinical relevance to fight cerebral visual impairment.
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Affiliation(s)
- Miguel Skirzewski
- Rodent Cognition Research and Innovation Core, University of Western Ontario, London, ON, Canada
| | - Stéphane Molotchnikoff
- Département de Sciences Biologiques, Université de Montréal, Montreal, QC, Canada
- Département de Génie Electrique et Génie Informatique, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Luis F. Hernandez
- Knoebel Institute for Healthy Aging, University of Denver, Denver, CO, United States
| | - José Fernando Maya-Vetencourt
- Department of Biology, University of Pisa, Pisa, Italy
- Centre for Synaptic Neuroscience, Istituto Italiano di Tecnologia (IIT), Genova, Italy
- *Correspondence: José Fernando Maya-Vetencourt
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18
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Harrison OK, Hayen A, Wager TD, Pattinson KT. Investigating the specificity of the neurologic pain signature against breathlessness and finger opposition. Pain 2021; 162:2933-2944. [PMID: 33990110 PMCID: PMC8600542 DOI: 10.1097/j.pain.0000000000002327] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 04/15/2021] [Accepted: 04/16/2021] [Indexed: 11/26/2022]
Abstract
ABSTRACT Brain biomarkers of pain, including pain-predictive "signatures" based on brain activity, can provide measures of neurophysiological processes and potential targets for interventions. A central issue relates to the specificity of such measures, and understanding their current limits will both advance their development and explore potentially generalizable properties of pain to other states. Here, we used 2 data sets to test the neurologic pain signature (NPS), an established pain neuromarker. In study 1, brain activity was measured using high-field functional magnetic resonance imaging (7T fMRI, N = 40) during 5 to 25 seconds of experimental breathlessness (induced by inspiratory resistive loading), conditioned breathlessness anticipation, and finger opposition. In study 2, we assessed anticipation and breathlessness perception (3T, N = 19) under blinded saline (placebo) and remifentanil administration. The NPS responded to breathlessness, anticipation, and finger opposition, although no direct comparisons with painful events were possible. Local NPS patterns in anterior or midinsula, S2, and dorsal anterior cingulate responded to breathlessness and finger opposition and were reduced by remifentanil. Local NPS responses in the dorsal posterior insula did not respond to any manipulations. Therefore, significant global NPS activity alone is not specific for pain, and we offer insight into the overlap between NPS responses, breathlessness, and somatomotor demand.
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Affiliation(s)
- Olivia K. Harrison
- Translational Neuromodeling Unit, Institute of Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland
- School of Pharmacy, University of Otago, New Zealand
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
- Wellcome Centre for NeuroImaging, University of Oxford, Oxford, United Kingdom
| | - Anja Hayen
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
- Wellcome Centre for NeuroImaging, University of Oxford, Oxford, United Kingdom
- School of Psychology & Clinical Language Sciences, University of Reading, Reading, United Kingdom
| | - Tor D. Wager
- USA Department of Psychological and Brain Sciences, Dartmouth College, Hanover, United States.
| | - Kyle T.S. Pattinson
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
- Wellcome Centre for NeuroImaging, University of Oxford, Oxford, United Kingdom
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19
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Li L, Di X, Zhang H, Huang G, Zhang L, Liang Z, Zhang Z. Characterization of whole-brain task-modulated functional connectivity in response to nociceptive pain: A multisensory comparison study. Hum Brain Mapp 2021; 43:1061-1075. [PMID: 34761468 PMCID: PMC8764484 DOI: 10.1002/hbm.25707] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 10/12/2021] [Accepted: 10/21/2021] [Indexed: 11/12/2022] Open
Abstract
Previous functional magnetic resonance imaging (fMRI) studies have shown that brain responses to nociceptive pain, non-nociceptive somatosensory, visual, and auditory stimuli are extremely similar. Actually, perception of external sensory stimulation requires complex interactions among distributed cortical and subcortical brain regions. However, the interactions among these regions elicited by nociceptive pain remain unclear, which limits our understanding of mechanisms of pain from a brain network perspective. Task fMRI data were collected with a random sequence of intermixed stimuli of four sensory modalities in 80 healthy subjects. Whole-brain psychophysiological interaction analysis was performed to identify task-modulated functional connectivity (FC) patterns for each modality. Task-modulated FC strength and graph-theoretical-based network properties were compared among the four modalities. Lastly, we performed across-sensory-modality prediction analysis based on the whole-brain task-modulated FC patterns to confirm the specific relationship between brain patterns and sensory modalities. For each sensory modality, task-modulated FC patterns were distributed over widespread brain regions beyond those typically activated or deactivated during the stimulation. As compared with the other three sensory modalities, nociceptive stimulation exhibited significantly different patterns (more widespread and stronger FC within the cingulo-opercular network, between cingulo-opercular and sensorimotor networks, between cingulo-opercular and emotional networks, and between default mode and emotional networks) and global property (smaller modularity). Further, a cross-sensory-modality prediction analysis found that task-modulated FC patterns could predict sensory modality at the subject level successfully. Collectively, these results demonstrated that the whole-brain task-modulated FC is preferentially modulated by pain, thus providing new insights into the neural mechanisms of pain processing.
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Affiliation(s)
- Linling Li
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.,Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, Shenzhen, China
| | - Xin Di
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, New Jersey, USA
| | - Huijuan Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Gan Huang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.,Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, Shenzhen, China
| | - Li Zhang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.,Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, Shenzhen, China
| | - Zhen Liang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.,Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, Shenzhen, China
| | - Zhiguo Zhang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.,Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, Shenzhen, China.,Peng Cheng Laboratory, Shenzhen, China
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20
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Mercer Lindsay N, Chen C, Gilam G, Mackey S, Scherrer G. Brain circuits for pain and its treatment. Sci Transl Med 2021; 13:eabj7360. [PMID: 34757810 DOI: 10.1126/scitranslmed.abj7360] [Citation(s) in RCA: 69] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
[Figure: see text].
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Affiliation(s)
- Nicole Mercer Lindsay
- Department of Cell Biology and Physiology, UNC Neuroscience Center, Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.,Department of Biology, CNC Program, Department of Applied Physics, Stanford University, Stanford, CA 94305, USA
| | - Chong Chen
- Department of Cell Biology and Physiology, UNC Neuroscience Center, Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Gadi Gilam
- Division of Pain Medicine, Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA 94304, USA
| | - Sean Mackey
- Division of Pain Medicine, Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA 94304, USA
| | - Grégory Scherrer
- Department of Cell Biology and Physiology, UNC Neuroscience Center, Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.,New York Stem Cell Foundation-Robertson Investigator, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
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21
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Tang X, Li L. Multivariate Temporal Point Process Regression. J Am Stat Assoc 2021; 118:830-845. [PMID: 37519438 PMCID: PMC10373792 DOI: 10.1080/01621459.2021.1955690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 05/23/2021] [Accepted: 07/05/2021] [Indexed: 10/20/2022]
Abstract
Point process modeling is gaining increasing attention, as point process type data are emerging in a large variety of scientific applications. In this article, motivated by a neuronal spike trains study, we propose a novel point process regression model, where both the response and the predictor can be a high-dimensional point process. We model the predictor effects through the conditional intensities using a set of basis transferring functions in a convolutional fashion. We organize the corresponding transferring coefficients in the form of a three-way tensor, then impose the low-rank, sparsity, and subgroup structures on this coefficient tensor. These structures help reduce the dimensionality, integrate information across different individual processes, and facilitate the interpretation. We develop a highly scalable optimization algorithm for parameter estimation. We derive the large sample error bound for the recovered coefficient tensor, and establish the subgroup identification consistency, while allowing the dimension of the multivariate point process to diverge. We demonstrate the efficacy of our method through both simulations and a cross-area neuronal spike trains analysis in a sensory cortex study.
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Affiliation(s)
- Xiwei Tang
- Department of Statistics, University of Virginia, Charlottesville, VA
| | - Lexin Li
- Department of Biostatistics and Epidemiology, University of California, Berkeley, CA
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22
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Quan S, Yang J, Dun W, Wang K, Liu H, Liu J. Prediction of pain intensity with uterine morphological features and brain microstructural and functional properties in women with primary dysmenorrhea. Brain Imaging Behav 2021; 15:1580-1588. [PMID: 32705468 DOI: 10.1007/s11682-020-00356-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Primary dysmenorrhea (PDM), defined as painful menstrual cramps of uterine origin, could cause brain structural and functional changes after long-term menstrual pain. Here, we aimed to investigate the predictive value of uterine morphological features and microstructural/functional properties of the brain extracted from periovulatory phases for the intensity of menstrual pain as rated by women with PDM during their subsequent menstrual period. Forty-five women with PDM were recruited and classified into the high and mild pain intensity groups. Pelvic MRI was employed to extract the uterine texture features. White matter diffusion properties, grey matter and functional connectivity features were extracted as brain features. Multivariate logistic regression models with iteration optimization were built for classifying different pain intensity groups. Texture features from myometrium and uterine junction zone had outstanding prediction performance with an area under the receiver operating characteristic (AUC) of 0.96 (P < 0.05, permutation test), and diffusion properties along the thalamic fiber bundles were the most discriminative features with AUC of 0.95. Applying features from uterus and brain together, we could gain better prediction performance. Our results indicated that accumulated differences in menstrual pain were associated not only with uterine structure but also diffusion properties of thalamic-related fiber tracts, suggesting that treatment options of PDM patients may be expanded from only being able to manage pain in the uterus focusing on the functional/structural modifications of the pain processing system.
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Affiliation(s)
- Shilan Quan
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, 710126, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, 710126, People's Republic of China
| | - Jing Yang
- Department of Medical Imaging, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, People's Republic of China
| | - Wanghuan Dun
- Department of Medical Imaging, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, People's Republic of China
| | - Ke Wang
- Department of Medical Imaging, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, People's Republic of China
| | - Hongjuan Liu
- Department of Critical Care Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
| | - Jixin Liu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, 710126, People's Republic of China. .,Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, 710126, People's Republic of China.
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23
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Tang J, Su Q, Zhang X, Qin W, Liu H, Liang M, Yu C. Brain Gene Expression Pattern Correlated with the Differential Brain Activation by Pain and Touch in Humans. Cereb Cortex 2021; 31:3506-3521. [PMID: 33693675 DOI: 10.1093/cercor/bhab028] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 01/04/2021] [Accepted: 01/21/2021] [Indexed: 12/26/2022] Open
Abstract
Genes involved in pain and touch sensations have been studied extensively, but very few studies have tried to link them with neural activities in the brain. Here, we aimed to identify genes preferentially correlated to painful activation patterns by linking the spatial patterns of gene expression of Allen Human Brain Atlas with the pain-elicited neural responses in the human brain, with a parallel, control analysis for identification of genes preferentially correlated to tactile activation patterns. We identified 1828 genes whose expression patterns preferentially correlated to painful activation patterns and 411 genes whose expression patterns preferentially correlated to tactile activation pattern at the cortical level. In contrast to the enrichment for astrocyte and inhibitory synaptic transmission of genes preferentially correlated to tactile activation, the genes preferentially correlated to painful activation were mainly enriched for neuron and opioid- and addiction-related pathways and showed significant overlap with pain-related genes identified in previous studies. These findings not only provide important evidence for the differential genetic architectures of specific brain activation patterns elicited by painful and tactile stimuli but also validate a new approach to studying pain- and touch-related genes more directly from the perspective of neural responses in the human brain.
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Affiliation(s)
- Jie Tang
- Tianjin Key Laboratory of Functional Imaging, Department of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, P.R. China
| | - Qian Su
- Tianjin Key Laboratory of Cancer Prevention and Therapy, Department of Molecular Imaging and Nuclear Medicine, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for China, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, P.R. China
| | - Xue Zhang
- Tianjin Key Laboratory of Functional Imaging, Department of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, P.R. China
| | - Wen Qin
- Tianjin Key Laboratory of Functional Imaging, Department of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, P.R. China
| | - Huaigui Liu
- Tianjin Key Laboratory of Functional Imaging, Department of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, P.R. China
| | - Meng Liang
- Tianjin Key Laboratory of Functional Imaging, School of Medical Imaging, Tianjin Medical University, Tianjin 300052, P.R. China
| | - Chunshui Yu
- Tianjin Key Laboratory of Functional Imaging, Department of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, P.R. China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, P.R. China
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24
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Apkarian AV. The Necessity of Methodological Advances in Pain Research: Challenges and Opportunities. FRONTIERS IN PAIN RESEARCH 2021; 2:634041. [PMID: 35295518 PMCID: PMC8915640 DOI: 10.3389/fpain.2021.634041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 04/29/2021] [Indexed: 11/13/2022] Open
Affiliation(s)
- Apkar Vania Apkarian
- Department of Physiology, Anesthesiology, Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL, United States
- Center for Translational Pain Research, Center of Excellence for Chronic Pain and Drug Abuse Research, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
- *Correspondence: Apkar Vania Apkarian
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25
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Öztekin I, Finlayson MA, Graziano PA, Dick AS. Is there any incremental benefit to conducting neuroimaging and neurocognitive assessments in the diagnosis of ADHD in young children? A machine learning investigation. Dev Cogn Neurosci 2021; 49:100966. [PMID: 34044207 PMCID: PMC8167232 DOI: 10.1016/j.dcn.2021.100966] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2020] [Revised: 05/18/2021] [Accepted: 05/19/2021] [Indexed: 11/29/2022] Open
Abstract
Given the negative trajectories of early behavior problems associated with ADHD, early diagnosis is considered critical to enable intervention and treatment. To this end, the current investigation employed machine learning to evaluate the relative predictive value of parent/teacher ratings, behavioral and neural measures of executive function (EF) in predicting ADHD in a sample consisting of 162 young children (ages 4–7, mean age 5.55, 82.6 % Hispanic/Latino). Among the target measures, teacher ratings of EF were the most predictive of ADHD. While a more extensive evaluation of neural measures, such as diffusion-weighted imaging, may provide more information as they relate to the underlying cognitive deficits associated with ADHD, the current study indicates that measures of cortical anatomy obtained in research studies, as well cognitive measures of EF often obtained in routine assessments, have little incremental value in differentiating typically developing children from those diagnosed with ADHD. It is important to note that the overlap between some of the EF questions in the BRIEF, and the ADHD symptoms could be enhancing this effect. Thus, future research evaluating the importance of such measures in predicting children’s functional impairment in academic and social areas would provide additional insight into their contributing role in ADHD.
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Affiliation(s)
- Ilke Öztekin
- Florida International University, United States.
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26
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Song Y, Su Q, Yang Q, Zhao R, Yin G, Qin W, Iannetti GD, Yu C, Liang M. Feedforward and feedback pathways of nociceptive and tactile processing in human somatosensory system: A study of dynamic causal modeling of fMRI data. Neuroimage 2021; 234:117957. [PMID: 33744457 DOI: 10.1016/j.neuroimage.2021.117957] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2020] [Revised: 03/07/2021] [Accepted: 03/09/2021] [Indexed: 11/30/2022] Open
Abstract
Nociceptive and tactile information is processed in the somatosensory system via reciprocal (i.e., feedforward and feedback) projections between the thalamus, the primary (S1) and secondary (S2) somatosensory cortices. The exact hierarchy of nociceptive and tactile information processing within this 'thalamus-S1-S2' network and whether the processing hierarchy differs between the two somatosensory submodalities remains unclear. In particular, two questions related to the ascending and descending pathways have not been addressed. For the ascending pathways, whether tactile or nociceptive information is processed in parallel (i.e., 'thalamus-S1' and 'thalamus-S2') or in serial (i.e., 'thalamus-S1-S2') remains controversial. For the descending pathways, how corticothalamic feedback regulates nociceptive and tactile processing also remains elusive. Here, we aimed to investigate the hierarchical organization for the processing of nociceptive and tactile information in the 'thalamus-S1-S2' network using dynamic causal modeling (DCM) combined with high-temporal-resolution fMRI. We found that, for both nociceptive and tactile information processing, both S1 and S2 received inputs from thalamus, indicating a parallel structure of ascending pathways for nociceptive and tactile information processing. Furthermore, we observed distinct corticothalamic feedback regulations from S1 and S2, showing that S1 generally exerts inhibitory feedback regulation independent of external stimulation whereas S2 provides additional inhibition to the thalamic activity during nociceptive and tactile information processing in humans. These findings revealed that nociceptive and tactile information processing have similar hierarchical organization within the somatosensory system in the human brain.
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Affiliation(s)
- Yingchao Song
- School of Medical Imaging and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin, China
| | - Qian Su
- Department of Molecular Imaging and Nuclear Medicine, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for China, Tianjin, China
| | - Qingqing Yang
- School of Medical Imaging and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin, China
| | - Rui Zhao
- School of Medical Imaging and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin, China; Department of Orthopedics Surgery, Tianjin Medical University General Hospital, Tianjin, China
| | - Guotao Yin
- Department of Molecular Imaging and Nuclear Medicine, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for China, Tianjin, China
| | - Wen Qin
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Gian Domenico Iannetti
- Neuroscience and Behaviour Laboratory, Italian Institute of Technology, Rome, Italy; Department of Neuroscience, Physiology and Pharmacology, University College London, London, United Kingdom
| | - Chunshui Yu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China; Chinese Academy of Sciences (CAS) Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Meng Liang
- School of Medical Imaging and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin, China.
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27
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Fallon N, Giesbrecht T, Thomas A, Stancak A. A Behavioral and Electrophysiological Investigation of Effects of Visual Congruence on Olfactory Sensitivity During Habituation to Prolonged Odors. Chem Senses 2020; 45:845-854. [PMID: 33035323 PMCID: PMC7872010 DOI: 10.1093/chemse/bjaa065] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Congruent visual cues augment sensitivity to brief olfactory presentations and habituation of odor perception is modulated by central-cognitive processing including context. However, it is not known whether habituation to odors could interact with cross-modal congruent stimuli. The present research investigated the effect of visual congruence on odor detection sensitivity during continuous odor exposures. We utilized a multimethod approach, including subjective behavioral responses and reaction times (RTs; study 1) and electroencephalography (EEG, study 2). Study 1: 25 participants received 2-min presentations of moderate-intensity floral odor delivered via olfactometer with congruent (flower) and incongruent (object) image presentations. Participants indicated odor perception after each image. Detection sensitivity and RTs were analyzed in epochs covering the period of habituation. Study 2: 25 new participants underwent EEG recordings during 145-s blocks of odor presentations with congruent or incongruent images. Participants passively observed images and intermittently rated the perceived intensity of odor. Event-related potential analysis was utilized to evaluate brain processing related to odor–visual pairs across the period of habituation. Odor detection sensitivity and RTs were improved by congruent visual cues. Results highlighted a diminishing influence of visual congruence on odor detection sensitivity as habituation occurred. Event-related potential analysis revealed an effect of congruency on electrophysiological processing in the N400 component. This was only evident in early periods of odor exposure when perception was strong. For the first time, this demonstrates the modulation of central processing of odor–visual pairs by habituation. Frontal negativity (N400) responses encode the aspects of cross-modal congruence for odor–vision cross-modal tasks.
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Affiliation(s)
- Nicholas Fallon
- Department of Psychological Sciences, Institute of Psychology, Health, and Society, University of Liverpool, Eleanor Rathbone Building, Bedford Street South, Liverpool, UK
| | | | - Anna Thomas
- Unilever Research and Development, Quarry Rd E, Wirral, UK
| | - Andrej Stancak
- Department of Psychological Sciences, Institute of Psychology, Health, and Society, University of Liverpool, Eleanor Rathbone Building, Bedford Street South, Liverpool, UK
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28
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Abstract
Frisson is characterised by tingling and tickling sensations with positive or negative feelings. However, it is still unknown what factors affect the intensity of frisson. We conducted experiments on the stimulus characteristics and individual’s mood states and personality traits. Participants filled out self-reported questionnaires, including the Profile of Mood States, Beck Depression Inventory, and Big Five Inventory. They continuously indicated the subjective intensity of frisson throughout a 17-min experiment while listening to binaural brushing and tapping sounds through headphones. In the interviews after the experiments, participants reported that tingling and tickling sensations mainly originated on their ears, neck, shoulders, and back. Cross-correlation results showed that the intensity of frisson was closely linked to the acoustic features of auditory stimuli, including their amplitude, spectral centroid, and spectral bandwidth. This suggests that proximal sounds with dark and compact timbre trigger frisson. The peak of correlation between frisson and the acoustic feature was observed 2 s after the acoustic feature changed, suggesting that bottom-up auditory inputs modulate skin-related modalities. We also found that participants with anxiety were sensitive to frisson. Our results provide important clues to understanding the mechanisms of auditory–somatosensory interactions.
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Affiliation(s)
- Takuya Koumura
- Human Information Science Laboratory, NTT Communication Science Laboratories, NTT Corporation, Atsugi, Japan
| | - Masashi Nakatani
- Human Information Science Laboratory, NTT Communication Science Laboratories, NTT Corporation, Atsugi, Japan.,Faculty of Environment and Information Studies, Keio University, Fujisawa, Japan
| | - Hsin-I Liao
- Human Information Science Laboratory, NTT Communication Science Laboratories, NTT Corporation, Atsugi, Japan
| | - Hirohito M Kondo
- Human Information Science Laboratory, NTT Communication Science Laboratories, NTT Corporation, Atsugi, Japan.,School of Psychology, Chukyo University, Nagoya, Japan
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29
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Jackson JB, O'Daly O, Makovac E, Medina S, Rubio ADL, McMahon SB, Williams SCR, Howard MA. Noxious pressure stimulation demonstrates robust, reliable estimates of brain activity and self-reported pain. Neuroimage 2020; 221:117178. [PMID: 32707236 PMCID: PMC7762811 DOI: 10.1016/j.neuroimage.2020.117178] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Revised: 06/01/2020] [Accepted: 07/14/2020] [Indexed: 12/17/2022] Open
Abstract
Functional neuroimaging techniques have provided great insight in the field of pain. Utilising these techniques, we have characterised pain-induced responses in the brain and improved our understanding of key pain-related phenomena. Despite the utility of these methods, there remains a need to assess the test retest reliability of pain modulated blood-oxygen-level-dependant (BOLD) MR signal across repeated sessions. This is especially the case for more novel yet increasingly implemented stimulation modalities, such as noxious pressure, and it is acutely important for multi-session studies considering treatment efficacy. In the present investigation, BOLD signal responses were estimated for noxious-pressure stimulation in a group of healthy participants, across two separate sessions. Test retest reliability of functional magnetic resonance imaging (fMRI) data and self-reported visual analogue scale measures were determined by the intra-class correlation coefficient. High levels of reliability were observed in several key brain regions known to underpin the pain experience, including in the thalamus, insula, somatosensory cortices, and inferior frontal regions, alongside "excellent" reliability of self-reported pain measures. These data demonstrate that BOLD-fMRI derived signals are a valuable tool for quantifying noxious responses pertaining to pressure stimulation. We further recommend the implementation of pressure as a stimulation modality in experimental applications.
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Affiliation(s)
- Jade B Jackson
- MRC Cognition and Brain Sciences Unit, University of Cambridge, UK; Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; Wolfson Centre for Age-Related Diseases, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK.
| | - Owen O'Daly
- MRC Cognition and Brain Sciences Unit, University of Cambridge, UK
| | - Elena Makovac
- MRC Cognition and Brain Sciences Unit, University of Cambridge, UK; Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Sonia Medina
- MRC Cognition and Brain Sciences Unit, University of Cambridge, UK; Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | | | - Stephen B McMahon
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | | | - Matthew A Howard
- MRC Cognition and Brain Sciences Unit, University of Cambridge, UK
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30
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Kim DY, Jung EK, Zhang J, Lee SY, Lee JH. Functional magnetic resonance imaging multivoxel pattern analysis reveals neuronal substrates for collaboration and competition with myopic and predictive strategic reasoning. Hum Brain Mapp 2020; 41:4314-4331. [PMID: 32633451 PMCID: PMC7502831 DOI: 10.1002/hbm.25127] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 06/20/2020] [Accepted: 06/22/2020] [Indexed: 11/18/2022] Open
Abstract
Competition and collaboration are strategies that can be used to optimize the outcomes of social interactions. Research into the neuronal substrates underlying these aspects of social behavior has been limited due to the difficulty in distinguishing complex activation via univariate analysis. Therefore, we employed multivoxel pattern analysis of functional magnetic resonance imaging to reveal the neuronal activations underlying competitive and collaborative processes when the collaborator/opponent used myopic/predictive reasoning. Twenty‐four healthy subjects participated in 2 × 2 matrix‐based sequential‐move games. Searchlight‐based multivoxel patterns were used as input for a support vector machine using nested cross‐validation to distinguish game conditions, and identified voxels were validated via the regression of the behavioral data with bootstrapping. The left anterior insula (accuracy = 78.5%) was associated with competition, and middle frontal gyrus (75.1%) was associated with predictive reasoning. The inferior/superior parietal lobules (84.8%) and middle frontal gyrus (84.7%) were associated with competition, particularly in trials with a predictive opponent. The visual/motor areas were related to response time as a proxy for visual attention and task difficulty. Our results suggest that multivoxel patterns better represent the neuronal substrates underlying the social cognition of collaboration and competition intermixed with myopic and predictive reasoning than do univariate features.
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Affiliation(s)
- Dong-Youl Kim
- Department of Brain and Cognitive Engineering, Korea University, Seoul, South Korea
| | - Eun Kyung Jung
- Department of Brain and Cognitive Engineering, Korea University, Seoul, South Korea
| | - Jun Zhang
- Department of Psychology, University of Michigan, Ann Arbor, Michigan, USA
| | - Soo-Young Lee
- Department of Electrical Engineering, KAIST, Daejeon, South Korea.,Department of Bio and Brain Engineering, KAIST, Daejeon, South Korea
| | - Jong-Hwan Lee
- Department of Brain and Cognitive Engineering, Korea University, Seoul, South Korea
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31
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Zumer JM, White TP, Noppeney U. The neural mechanisms of audiotactile binding depend on asynchrony. Eur J Neurosci 2020; 52:4709-4731. [PMID: 32725895 DOI: 10.1111/ejn.14928] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2020] [Revised: 07/06/2020] [Accepted: 07/24/2020] [Indexed: 11/30/2022]
Abstract
Asynchrony is a critical cue informing the brain whether sensory signals are caused by a common source and should be integrated or segregated. This psychophysics-electroencephalography (EEG) study investigated the influence of asynchrony on how the brain binds audiotactile (AT) signals to enable faster responses in a redundant target paradigm. Human participants actively responded (psychophysics) or passively attended (EEG) to noise bursts, "taps-to-the-face" and their AT combinations at seven AT asynchronies: 0, ±20, ±70 and ±500 ms. Behaviourally, observers were faster at detecting AT than unisensory stimuli within a temporal integration window: the redundant target effect was maximal for synchronous stimuli and declined within a ≤70 ms AT asynchrony. EEG revealed a cascade of AT interactions that relied on different neural mechanisms depending on AT asynchrony. At small (≤20 ms) asynchronies, AT interactions arose for evoked response potentials (ERPs) at 110 ms and ~400 ms post-stimulus. Selectively at ±70 ms asynchronies, AT interactions were observed for the P200 ERP, theta-band inter-trial coherence (ITC) and power at ~200 ms post-stimulus. In conclusion, AT binding was mediated by distinct neural mechanisms depending on the asynchrony of the AT signals. Early AT interactions in ERPs and theta-band ITC and power were critical for the behavioural response facilitation within a ≤±70 ms temporal integration window.
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Affiliation(s)
- Johanna M Zumer
- School of Psychology, University of Birmingham, Birmingham, UK.,Centre for Computational Neuroscience and Cognitive Robotics, University of Birmingham, Birmingham, UK.,Centre for Human Brain Health, University of Birmingham, Birmingham, UK.,School of Life and Health Sciences, Aston University, Birmingham, UK
| | - Thomas P White
- School of Psychology, University of Birmingham, Birmingham, UK.,Centre for Computational Neuroscience and Cognitive Robotics, University of Birmingham, Birmingham, UK
| | - Uta Noppeney
- School of Psychology, University of Birmingham, Birmingham, UK.,Centre for Computational Neuroscience and Cognitive Robotics, University of Birmingham, Birmingham, UK.,Centre for Human Brain Health, University of Birmingham, Birmingham, UK.,Donders Institute for Brain, Cognition, and Behaviour, Nijmegen, The Netherlands
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32
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Rahman MS, Barnes KA, Crommett LE, Tommerdahl M, Yau JM. Auditory and tactile frequency representations are co-embedded in modality-defined cortical sensory systems. Neuroimage 2020; 215:116837. [PMID: 32289461 PMCID: PMC7292761 DOI: 10.1016/j.neuroimage.2020.116837] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Revised: 03/17/2020] [Accepted: 04/06/2020] [Indexed: 11/18/2022] Open
Abstract
Sensory information is represented and elaborated in hierarchical cortical systems that are thought to be dedicated to individual sensory modalities. This traditional view of sensory cortex organization has been challenged by recent evidence of multimodal responses in primary and association sensory areas. Although it is indisputable that sensory areas respond to multiple modalities, it remains unclear whether these multimodal responses reflect selective information processing for particular stimulus features. Here, we used fMRI adaptation to identify brain regions that are sensitive to the temporal frequency information contained in auditory, tactile, and audiotactile stimulus sequences. A number of brain regions distributed over the parietal and temporal lobes exhibited frequency-selective temporal response modulation for both auditory and tactile stimulus events, as indexed by repetition suppression effects. A smaller set of regions responded to crossmodal adaptation sequences in a frequency-dependent manner. Despite an extensive overlap of multimodal frequency-selective responses across the parietal and temporal lobes, representational similarity analysis revealed a cortical "regional landscape" that clearly reflected distinct somatosensory and auditory processing systems that converged on modality-invariant areas. These structured relationships between brain regions were also evident in spontaneous signal fluctuation patterns measured at rest. Our results reveal that multimodal processing in human cortex can be feature-specific and that multimodal frequency representations are embedded in the intrinsically hierarchical organization of cortical sensory systems.
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Affiliation(s)
- Md Shoaibur Rahman
- Department of Neuroscience, Baylor College of Medicine, Houston, One Baylor Plaza, Houston, TX, 77030, USA
| | - Kelly Anne Barnes
- Department of Neuroscience, Baylor College of Medicine, Houston, One Baylor Plaza, Houston, TX, 77030, USA; Department of Behavioral and Social Sciences, San Jacinto College - South, Houston, 13735 Beamer Rd, S13.269, Houston, TX, 77089, USA
| | - Lexi E Crommett
- Department of Neuroscience, Baylor College of Medicine, Houston, One Baylor Plaza, Houston, TX, 77030, USA
| | - Mark Tommerdahl
- Department of Biomedical Engineering, University of North Carolina at Chapel Hill, CB No. 7575, Chapel Hill, NC, 27599, USA
| | - Jeffrey M Yau
- Department of Neuroscience, Baylor College of Medicine, Houston, One Baylor Plaza, Houston, TX, 77030, USA.
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33
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Peng Y, Zhang X, Li Y, Su Q, Wang S, Liu F, Yu C, Liang M. MVPANI: A Toolkit With Friendly Graphical User Interface for Multivariate Pattern Analysis of Neuroimaging Data. Front Neurosci 2020; 14:545. [PMID: 32742251 PMCID: PMC7364177 DOI: 10.3389/fnins.2020.00545] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 05/04/2020] [Indexed: 12/03/2022] Open
Abstract
With the rapid development of machine learning techniques, multivariate pattern analysis (MVPA) is becoming increasingly popular in the field of neuroimaging data analysis. Several software packages have been developed to facilitate its application in neuroimaging studies. As most of these software packages are based on command lines, researchers are required to learn how to program, which has greatly limited the use of MVPA for researchers without programming skills. Moreover, lacking a graphical user interface (GUI) also hinders the standardization of the application of MVPA in neuroimaging studies and, consequently, the replication of previous studies or comparisons of results between different studies. Therefore, we developed a GUI-based toolkit for MVPA of neuroimaging data: MVPANI (MVPA for Neuroimaging). Compared with other existing software packages, MVPANI has several advantages. First, MVPANI has a GUI and is, thus, more friendly for non-programmers. Second, MVPANI offers a variety of machine learning algorithms with the flexibility of parameter modification so that researchers can test different algorithms and tune parameters to identify the most suitable algorithms and parameters for their own data. Third, MVPANI also offers the function of data fusion at two levels (feature level or decision level) to utilize complementary information contained in different measures obtained from multimodal neuroimaging techniques. In this paper, we introduce this toolkit and provide four examples to demonstrate its usage, including (1) classification between patients and controls, (2) identification of brain areas containing discriminating information, (3) prediction of clinical scores, and (4) multimodal data fusion.
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Affiliation(s)
- Yanmin Peng
- School of Medical Imaging, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin, China
| | - Xi Zhang
- School of Medical Imaging, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin, China
| | - Yifan Li
- School of Medical Imaging, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin, China
| | - Qian Su
- School of Medical Imaging, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin, China
| | - Sijia Wang
- School of Medical Imaging, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin, China
| | - Feng Liu
- Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin, China.,Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Chunshui Yu
- School of Medical Imaging, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin, China.,Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Meng Liang
- School of Medical Imaging, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin, China
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34
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Su Q, Song Y, Zhao R, Liang M. A review on the ongoing quest for a pain signature in the human brain. BRAIN SCIENCE ADVANCES 2020. [DOI: 10.26599/bsa.2019.9050024] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
Developing an objective biomarker for pain assessment is crucial for understanding neural coding mechanisms of pain in the human brain as well as for effective treatment of pain disorders. Neuroimaging techniques have been proven to be powerful tools in the ongoing quest for a pain signature in the human brain. Although there is still a long way to go before achieving a truly successful pain signature based on neuroimaging techniques, important progresses have been made through great efforts in the last two decades by the Pain Society. Here, we focus on neural responses to transient painful stimuli in healthy people, and review the relevant studies on the identification of a neuroimaging signature for pain.
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Affiliation(s)
- Qian Su
- Department of Molecular Imaging and Nuclear Medicine, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for China, Tianjin 300060, China
- These authors contributed equally to this work
| | - Yingchao Song
- School of Medical Imaging and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin 300070, China
- These authors contributed equally to this work
| | - Rui Zhao
- Department of Orthopedics Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Meng Liang
- School of Medical Imaging and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin 300070, China
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35
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Perception of surface stickiness in different sensory modalities: an functional MRI study. Neuroreport 2020; 31:411-415. [PMID: 32091480 DOI: 10.1097/wnr.0000000000001419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Surface texture can be perceived not only from tactile, but also from auditory and visual sensory cues. In our previous psychophysical study, we demonstrated that humans can recognize surface stickiness using only one kind of sensory modality without any difficulty. However, the brain regions that would be activated by non-corresponding sensory cues, for example, auditory and visual cues, remain unknown. In this human functional MRI study, we explored brain regions associated with surface stickiness perception in each of three different sensory modalities, and sought for common neural activities across modalities. In the tactile condition, participants actually touched a sticky surface with their right index finger. In the auditory and visual conditions, audio and video clips of tactile explorations of a sticky surface were presented and participants were asked to recall the perceived stickiness as vividly as possible. Our results, based on a general linear model analysis, showed that somatosensory cortices including postcentral gyrus, anterior insula, and anterior intraparietal sulcus were significantly activated across all modalities. Moreover, we observed significant activation of primary sensory regions of each modality. A follow-up conjunction analysis identified that postcentral gyrus, anterior intraparietal sulcus, precentral gyrus, and supplementary motor area were activated in common. These findings could deepen our understanding of the surface stickiness perception in the human brain.
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36
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Heid C, Mouraux A, Treede RD, Schuh-Hofer S, Rupp A, Baumgärtner U. Early gamma-oscillations as correlate of localized nociceptive processing in primary sensorimotor cortex. J Neurophysiol 2020; 123:1711-1726. [PMID: 32208893 DOI: 10.1152/jn.00444.2019] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Recent studies put forward the idea that stimulus-evoked gamma-band oscillations (GBOs; 30-100 Hz) play a specific role in nociception. So far, evidence for the specificity of GBOs for nociception, their possible involvement in nociceptive sensory discriminatory abilities, and knowledge regarding their cortical sources is just starting to grow. To address these questions, we used electroencephalography (EEG) to record brain activity evoked by phasic nociceptive laser stimuli and tactile stimuli applied at different intensities to the right hand and foot of 12 healthy volunteers. The EEG was analyzed in the time domain to extract phase-locked event-related brain potentials (ERPs) and in three regions of interest in the time-frequency domain (delta/theta, 40-Hz gamma, 70-Hz gamma) to extract stimulus-evoked changes in the magnitude of non-phase-locked brain oscillations. Both nociceptive and tactile stimuli, matched with respect to subjective intensity, elicited phase locked ERPs of increasing amplitude with increasing stimulus intensity. In contrast, only nociceptive stimuli elicited a significant enhancement of GBOs (65-85 Hz, 150-230 ms after stimulus onset), whose magnitude encoded stimulus intensity, whereas tactile stimuli led to a GBO decrease. Following nociceptive hand stimulation, the topographical distribution of GBOs was maximal at contralateral electrode C3, whereas maximum activity following foot stimulation was recorded at the midline electrode Cz, compatible with generation of GBOs in the representations of the hand and foot of the primary sensorimotor cortex, respectively. The differential behavior of high-frequency GBOs and low-frequency 40-Hz GBOs is indicating different functional roles and regions in sensory processing.NEW & NOTEWORTHY Gamma-band oscillations show hand-foot somatotopy compatible with generation in primary sensorimotor cortex and are present following nociceptive but not tactile stimulation of the hand and foot in humans.
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Affiliation(s)
- C Heid
- Department of Neurophysiology, Mannheim Center for Translational Neurosciences (MCTN), University of Heidelberg, Mannheim, Germany
| | - A Mouraux
- Institute of Neuroscience (IONS), Université catholique de Louvain, Brussels B-1200, Belgium
| | - R-D Treede
- Department of Neurophysiology, Mannheim Center for Translational Neurosciences (MCTN), University of Heidelberg, Mannheim, Germany
| | - S Schuh-Hofer
- Department of Neurophysiology, Mannheim Center for Translational Neurosciences (MCTN), University of Heidelberg, Mannheim, Germany
| | - A Rupp
- Department of Neurology, Section of Biomagnetism, University of Heidelberg, Heidelberg, Germany
| | - U Baumgärtner
- Department of Neurophysiology, Mannheim Center for Translational Neurosciences (MCTN), University of Heidelberg, Mannheim, Germany.,Department of Human Medicine, Faculty of Life Sciences, Medical School Hamburg (MSH), Hamburg, Germany
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37
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Decoding across sensory modalities reveals common supramodal signatures of conscious perception. Proc Natl Acad Sci U S A 2020; 117:7437-7446. [PMID: 32184331 PMCID: PMC7132110 DOI: 10.1073/pnas.1912584117] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
An increasing number of studies highlight common brain regions and processes in mediating conscious sensory experience. While most studies have been performed in the visual modality, it is implicitly assumed that similar processes are involved in other sensory modalities. However, the existence of supramodal neural processes related to conscious perception has not been convincingly shown so far. Here, we aim to directly address this issue by investigating whether neural correlates of conscious perception in one modality can predict conscious perception in a different modality. In two separate experiments, we presented participants with successive blocks of near-threshold tasks involving subjective reports of tactile, visual, or auditory stimuli during the same magnetoencephalography (MEG) acquisition. Using decoding analysis in the poststimulus period between sensory modalities, our first experiment uncovered supramodal spatiotemporal neural activity patterns predicting conscious perception of the feeble stimulation. Strikingly, these supramodal patterns included activity in primary sensory regions not directly relevant to the task (e.g., neural activity in visual cortex predicting conscious perception of auditory near-threshold stimulation). We carefully replicate our results in a control experiment that furthermore show that the relevant patterns are independent of the type of report (i.e., whether conscious perception was reported by pressing or withholding a button press). Using standard paradigms for probing neural correlates of conscious perception, our findings reveal a common signature of conscious access across sensory modalities and illustrate the temporally late and widespread broadcasting of neural representations, even into task-unrelated primary sensory processing regions.
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38
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Gau R, Bazin PL, Trampel R, Turner R, Noppeney U. Resolving multisensory and attentional influences across cortical depth in sensory cortices. eLife 2020; 9:46856. [PMID: 31913119 PMCID: PMC6984812 DOI: 10.7554/elife.46856] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Accepted: 01/07/2020] [Indexed: 11/13/2022] Open
Abstract
In our environment, our senses are bombarded with a myriad of signals, only a subset of which is relevant for our goals. Using sub-millimeter-resolution fMRI at 7T, we resolved BOLD-response and activation patterns across cortical depth in early sensory cortices to auditory, visual and audiovisual stimuli under auditory or visual attention. In visual cortices, auditory stimulation induced widespread inhibition irrespective of attention, whereas auditory relative to visual attention suppressed mainly central visual field representations. In auditory cortices, visual stimulation suppressed activations, but amplified responses to concurrent auditory stimuli, in a patchy topography. Critically, multisensory interactions in auditory cortices were stronger in deeper laminae, while attentional influences were greatest at the surface. These distinct depth-dependent profiles suggest that multisensory and attentional mechanisms regulate sensory processing via partly distinct circuitries. Our findings are crucial for understanding how the brain regulates information flow across senses to interact with our complex multisensory world.
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Affiliation(s)
- Remi Gau
- Computational Neuroscience and Cognitive Robotics Centre, University of Birmingham, Birmingham, United Kingdom.,Institute of Psychology, Université Catholique de Louvain, Louvain-la-Neuve, Belgium.,Institute of Neuroscience, Université Catholique de Louvain, Louvain-la-Neuve, Belgium
| | - Pierre-Louis Bazin
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,Integrative Model-based Cognitive Neuroscience research unit, University of Amsterdam, Amsterdam, Netherlands
| | - Robert Trampel
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Robert Turner
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom
| | - Uta Noppeney
- Computational Neuroscience and Cognitive Robotics Centre, University of Birmingham, Birmingham, United Kingdom.,Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
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39
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Lee IS, Necka EA, Atlas LY. Distinguishing pain from nociception, salience, and arousal: How autonomic nervous system activity can improve neuroimaging tests of specificity. Neuroimage 2020; 204:116254. [PMID: 31604122 PMCID: PMC6911655 DOI: 10.1016/j.neuroimage.2019.116254] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2019] [Revised: 10/04/2019] [Accepted: 10/07/2019] [Indexed: 12/16/2022] Open
Abstract
Pain is a subjective, multidimensional experience that is distinct from nociception. A large body of work has focused on whether pain processing is supported by specific, dedicated brain circuits. Despite advances in human neuroscience and neuroimaging analysis, dissociating acute pain from other sensations has been challenging since both pain and non-pain stimuli evoke salience and arousal responses throughout the body and in overlapping brain circuits. In this review, we discuss these challenges and propose that brain-body interactions in pain can be leveraged in order to improve tests for pain specificity. We review brain and bodily responses to pain and nociception and extant efforts toward identifying pain-specific brain networks. We propose that autonomic nervous system activity should be used as a surrogate measure of salience and arousal to improve these efforts and enable researchers to parse out pain-specific responses in the brain, and demonstrate the feasibility of this approach using example fMRI data from a thermal pain paradigm. This new approach will improve the accuracy and specificity of functional neuroimaging analyses and help to overcome current difficulties in assessing pain specific responses in the human brain.
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Affiliation(s)
- In-Seon Lee
- National Center for Complementary and Integrative Health, National Institutes of Health, Bethesda, MD, USA
| | - Elizabeth A Necka
- National Center for Complementary and Integrative Health, National Institutes of Health, Bethesda, MD, USA
| | - Lauren Y Atlas
- National Center for Complementary and Integrative Health, National Institutes of Health, Bethesda, MD, USA; National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, USA; National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
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40
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Pérez-Bellido A, Anne Barnes K, Crommett LE, Yau JM. Auditory Frequency Representations in Human Somatosensory Cortex. Cereb Cortex 2019; 28:3908-3921. [PMID: 29045579 DOI: 10.1093/cercor/bhx255] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2017] [Indexed: 01/01/2023] Open
Abstract
Recent studies have challenged the traditional notion of modality-dedicated cortical systems by showing that audition and touch evoke responses in the same sensory brain regions. While much of this work has focused on somatosensory responses in auditory regions, fewer studies have investigated sound responses and representations in somatosensory regions. In this functional magnetic resonance imaging (fMRI) study, we measured BOLD signal changes in participants performing an auditory frequency discrimination task and characterized activation patterns related to stimulus frequency using both univariate and multivariate analysis approaches. Outside of bilateral temporal lobe regions, we observed robust and frequency-specific responses to auditory stimulation in classically defined somatosensory areas. Moreover, using representational similarity analysis to define the relationships between multi-voxel activation patterns for all sound pairs, we found clear similarity patterns for auditory responses in the parietal lobe that correlated significantly with perceptual similarity judgments. Our results demonstrate that auditory frequency representations can be distributed over brain regions traditionally considered to be dedicated to somatosensation. The broad distribution of auditory and tactile responses over parietal and temporal regions reveals a number of candidate brain areas that could support general temporal frequency processing and mediate the extensive and robust perceptual interactions between audition and touch.
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Affiliation(s)
- Alexis Pérez-Bellido
- Department of Neuroscience, Baylor College of Medicine, Houston, One Baylor Plaza, Houston, TX, USA
| | - Kelly Anne Barnes
- Department of Neuroscience, Baylor College of Medicine, Houston, One Baylor Plaza, Houston, TX, USA
| | - Lexi E Crommett
- Department of Neuroscience, Baylor College of Medicine, Houston, One Baylor Plaza, Houston, TX, USA
| | - Jeffrey M Yau
- Department of Neuroscience, Baylor College of Medicine, Houston, One Baylor Plaza, Houston, TX, USA
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41
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Yuan Y, Zhang L, Li L, Huang G, Anter A, Liang Z, Zhang Z. Distinct dynamic functional connectivity patterns of pain and touch thresholds: A resting-state fMRI study. Behav Brain Res 2019; 375:112142. [DOI: 10.1016/j.bbr.2019.112142] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Revised: 07/07/2019] [Accepted: 08/02/2019] [Indexed: 02/07/2023]
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42
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Thalamic low frequency activity facilitates resting-state cortical interhemispheric MRI functional connectivity. Neuroimage 2019; 201:115985. [DOI: 10.1016/j.neuroimage.2019.06.063] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Revised: 06/18/2019] [Accepted: 06/26/2019] [Indexed: 12/20/2022] Open
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43
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Neuroimaging-based biomarkers for pain: state of the field and current directions. Pain Rep 2019; 4:e751. [PMID: 31579847 PMCID: PMC6727991 DOI: 10.1097/pr9.0000000000000751] [Citation(s) in RCA: 59] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Revised: 03/20/2019] [Accepted: 04/07/2019] [Indexed: 12/15/2022] Open
Abstract
Chronic pain is an endemic problem involving both peripheral and brain pathophysiology. Although biomarkers have revolutionized many areas of medicine, biomarkers for pain have remained controversial and relatively underdeveloped. With the realization that biomarkers can reveal pain-causing mechanisms of disease in brain circuits and in the periphery, this situation is poised to change. In particular, brain pathophysiology may be diagnosable with human brain imaging, particularly when imaging is combined with machine learning techniques designed to identify predictive measures embedded in complex data sets. In this review, we explicate the need for brain-based biomarkers for pain, some of their potential uses, and some of the most popular machine learning approaches that have been brought to bear. Then, we evaluate the current state of pain biomarkers developed with several commonly used methods, including structural magnetic resonance imaging, functional magnetic resonance imaging and electroencephalography. The field is in the early stages of biomarker development, but these complementary methodologies have already produced some encouraging predictive models that must be tested more extensively across laboratories and clinical populations.
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44
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Crommett LE, Madala D, Yau JM. Multisensory perceptual interactions between higher-order temporal frequency signals. J Exp Psychol Gen 2019; 148:1124-1137. [PMID: 30335446 PMCID: PMC6472995 DOI: 10.1037/xge0000513] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Naturally occurring signals in audition and touch can be complex and marked by temporal variations in frequency and amplitude. Auditory frequency sweep processing has been studied extensively; however, much less is known about sweep processing in touch because studies have primarily focused on the perception of simple sinusoidal vibrations. Given the extensive interactions between audition and touch in the frequency processing of pure tone signals, we reasoned that these senses might also interact in the processing of higher-order frequency representations like sweeps. In a series of psychophysical experiments, we characterized the influence of auditory distractors on the ability of participants to discriminate tactile frequency sweeps. Auditory frequency sweeps systematically biased the tactile perception of sweep direction. Importantly, auditory cues exerted little influence on tactile sweep direction perception when the sounds and vibrations occupied different absolute frequency ranges or when the sounds consisted of intensity sweeps. Thus, audition and touch interact in frequency sweep perception in a frequency- and feature-specific manner. Our results demonstrate that audio-tactile interactions are not constrained to the processing of simple sinusoids. Because higher-order frequency representations may be synthesized from simpler representations, our findings imply that multisensory interactions in the temporal frequency domain span multiple hierarchical levels in sensory processing. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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Affiliation(s)
- Lexi E. Crommett
- Department of Neuroscience, Baylor College of Medicine, Houston, Texas 77030, USA
| | | | - Jeffrey M. Yau
- Department of Neuroscience, Baylor College of Medicine, Houston, Texas 77030, USA
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45
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Chronic Pain: Structural and Functional Changes in Brain Structures and Associated Negative Affective States. Int J Mol Sci 2019; 20:ijms20133130. [PMID: 31248061 PMCID: PMC6650904 DOI: 10.3390/ijms20133130] [Citation(s) in RCA: 149] [Impact Index Per Article: 29.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Revised: 06/21/2019] [Accepted: 06/25/2019] [Indexed: 12/22/2022] Open
Abstract
Chronic pain is a condition in which pain progresses from an acute to chronic state and persists beyond the healing process. Chronic pain impairs function and decreases patients’ quality of life. In recent years, efforts have been made to deepen our understanding of chronic pain and to develop better treatments to alleviate chronic pain. In this review, we summarize the results of previous studies, focusing on the mechanisms underlying chronic pain development and the identification of neural areas related to chronic pain. We review the association between chronic pain and negative affective states. Further, we describe the structural and functional changes in brain structures that accompany the chronification of pain and discuss various neurotransmitter families involved. Our review aims to provide guidance for the development of future therapeutic approaches that could be used in the management of chronic pain.
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46
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Gu J, Liu B, Li X, Wang P, Wang B. Cross-modal representations in early visual and auditory cortices revealed by multi-voxel pattern analysis. Brain Imaging Behav 2019; 14:1908-1920. [PMID: 31183774 DOI: 10.1007/s11682-019-00135-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Primary sensory cortices can respond not only to their defined sensory modality but also to cross-modal information. In addition to the observed cross-modal phenomenon, it is valuable to research further whether cross-modal information can be valuable for categorizing stimuli and what effect other factors, such as experience and imagination, may have on cross-modal processing. In this study, we researched cross-modal information processing in the early visual cortex (EVC, including the visual area 1, 2, and 3 (V1, V2, and V3)) and auditory cortex (primary (A1) and secondary (A2) auditory cortex). Images and sound clips were presented to participants separately in two experiments in which participants' imagination and expectations were restricted by an orthogonal fixation task and the data were collected by functional magnetic resonance imaging (fMRI). We successfully decoded categories of the cross-modal stimuli in the ROIs except for V1 by multi-voxel pattern analysis (MVPA). It was further shown that familiar sounds had the advantage of classification accuracies in V2 and V3 when compared with unfamiliar sounds. The results of the cross-classification analysis showed that there was no significant similarity between the activity patterns induced by different stimulus modalities. Even though the cross-modal representation is robust when considering the restriction of top-down expectations and mental imagery in our experiments, the sound experience showed effects on cross-modal representation in V2 and V3. In addition, primary sensory cortices may receive information from different modalities in different ways, so the activity patterns between two modalities were not similar enough to complete the cross-classification successfully.
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Affiliation(s)
- Jin Gu
- College of Intelligence and Computing, Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, Tianjin, 300350, People's Republic of China
| | - Baolin Liu
- School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, 100083, People's Republic of China.
| | - Xianglin Li
- Medical Imaging Research Institute, Binzhou Medical University, Yantai, Shandong, 264003, People's Republic of China
| | - Peiyuan Wang
- Department of Radiology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, Shandong, 264003, People's Republic of China
| | - Bin Wang
- Medical Imaging Research Institute, Binzhou Medical University, Yantai, Shandong, 264003, People's Republic of China
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47
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Liang M, Su Q, Mouraux A, Iannetti GD. Spatial Patterns of Brain Activity Preferentially Reflecting Transient Pain and Stimulus Intensity. Cereb Cortex 2019; 29:2211-2227. [PMID: 30844052 PMCID: PMC6458907 DOI: 10.1093/cercor/bhz026] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Revised: 01/29/2019] [Indexed: 01/19/2023] Open
Abstract
How pain emerges in the human brain remains an unresolved question. Neuroimaging studies have suggested that several brain areas subserve pain perception because their activation correlates with perceived pain intensity. However, painful stimuli are often intense and highly salient; therefore, using both intensity- and saliency-matched control stimuli is crucial to isolate pain-selective brain responses. Here, we used these intensity/saliency-matched painful and non-painful stimuli to test whether pain-selective information can be isolated in the functional magnetic resonance imaging responses elicited by painful stimuli. Using two independent datasets, multivariate pattern analysis was able to isolate features distinguishing the responses triggered by (1) intensity/saliency-matched painful versus non-painful stimuli, and (2) high versus low-intensity/saliency stimuli regardless of whether they elicit pain. This indicates that neural activity in the so-called "pain matrix" is functionally heterogeneous, and part of it carries information related to both painfulness and intensity/saliency. The response features distinguishing these aspects are spatially distributed and cannot be ascribed to specific brain structures.
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Affiliation(s)
- M Liang
- School of Medical Imaging and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin, China
- Department of Neuroscience, Physiology and Pharmacology, University College London, London, UK
| | - Q Su
- School of Medical Imaging and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin, China
| | - A Mouraux
- Institute of Neuroscience (IoNS), Université catholique de Louvain, Brussels, Belgium
| | - G D Iannetti
- Department of Neuroscience, Physiology and Pharmacology, University College London, London, UK
- Neuroscience and Behaviour Laboratory, Istituto Italiano di Tecnologia, Rome, Italy
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48
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Kitada R, Doizaki R, Kwon J, Tanigawa T, Nakagawa E, Kochiyama T, Kajimoto H, Sakamoto M, Sadato N. Brain networks underlying tactile softness perception: A functional magnetic resonance imaging study. Neuroimage 2019; 197:156-166. [PMID: 31029866 DOI: 10.1016/j.neuroimage.2019.04.044] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Revised: 03/18/2019] [Accepted: 04/16/2019] [Indexed: 10/27/2022] Open
Abstract
Humans are adept at perceiving physical properties of an object through touch. Tangible object properties can be categorized into two types: macro-spatial properties, including shape and orientation; and material properties, such as roughness, softness, and temperature. Previous neuroimaging studies have shown that roughness and temperature are extracted at nodes of a network, such as that involving the parietal operculum and insula, which is different from the network engaged in processing macro-spatial properties. However, it is unclear whether other perceptual dimensions pertaining to material properties engage the same regions. Here, we conducted a functional magnetic resonance imaging study to test whether the parietal operculum and insula were involved in extracting tactually-perceived softness magnitude. Fifty-six healthy right-handed participants estimated perceived softness magnitude using their right middle finger. We presented three stimuli that had the same shape but different compliances. The force applied to the finger was manipulated at two levels. Classical mass-univariate analysis showed that activity in the parietal operculum, insula, and medial prefrontal cortex was positively associated with perceived softness magnitude, regardless of the applied force. Softness-related activity was stronger in the ventral striatum in the high-force condition than in the low-force condition. The multivariate voxel pattern analysis showed higher accuracy than chance levels and control regions in the parietal operculum/insula, postcentral gyrus, posterior parietal lobule, and middle occipital gyrus. These results indicate that a distributed set of the brain regions, including the parietal operculum and insula, is involved in representing perceived softness.
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Affiliation(s)
- Ryo Kitada
- Division of Psychology, School of Social Sciences, Nanyang Technological University, 48 Nanyang Avenue, 639818, Singapore.
| | - Ryuichi Doizaki
- Department of Informatics, Graduate School of Informatics and Engineering, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo, 182-8585, Japan
| | - Jinhwan Kwon
- Kyoto University of Education, Fukakusa-Fujimori-cho 1, Fushimi-ku, Kyoto, 612-8522, Japan
| | - Tsubasa Tanigawa
- National Institute for Physiological Sciences, Nishigonaka 38, Myodaiji-cho, Okazaki, 444-8585, Japan; The Graduate University for Advanced Studies (SOKENDAI), Shonan Village, Hayama, Kanagawa, 240-0193, Japan
| | - Eri Nakagawa
- National Institute for Physiological Sciences, Nishigonaka 38, Myodaiji-cho, Okazaki, 444-8585, Japan
| | - Takanori Kochiyama
- ATR-Promotions, Brain Activity Imaging Center, 2-2-2 Hikaridai Seika-cho, Sorakugun, Kyoto, 619-0288, Japan
| | - Hiroyuki Kajimoto
- Department of Informatics, Graduate School of Informatics and Engineering, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo, 182-8585, Japan
| | - Maki Sakamoto
- Department of Informatics, Graduate School of Informatics and Engineering, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo, 182-8585, Japan
| | - Norihiro Sadato
- National Institute for Physiological Sciences, Nishigonaka 38, Myodaiji-cho, Okazaki, 444-8585, Japan; The Graduate University for Advanced Studies (SOKENDAI), Shonan Village, Hayama, Kanagawa, 240-0193, Japan
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Hutchinson JB, Barrett LF. The power of predictions: An emerging paradigm for psychological research. CURRENT DIRECTIONS IN PSYCHOLOGICAL SCIENCE 2019; 28:280-291. [PMID: 31749520 DOI: 10.1177/0963721419831992] [Citation(s) in RCA: 75] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The last two decades of neuroscience research has produced a growing number of studies that suggest the various psychological phenomena are produced by predictive processes in the brain. When considered together, these studies form a coherent, neurobiologically-inspired research program for guiding psychological research about the mind and behavior. In this paper, we briefly consider the common assumptions and hypotheses that unify an emerging framework and discuss its ramifications, both for improving the replicability and robustness of psychological research and for innovating psychological theory by suggesting an alternative ontology of the human mind.
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50
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Chanauria N, Bharmauria V, Bachatene L, Cattan S, Rouat J, Molotchnikoff S. Sound Induces Change in Orientation Preference of V1 Neurons: Audio-Visual Cross-Influence. Neuroscience 2019; 404:48-61. [PMID: 30703505 DOI: 10.1016/j.neuroscience.2019.01.039] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Revised: 01/18/2019] [Accepted: 01/21/2019] [Indexed: 10/27/2022]
Abstract
In the cortex, demarcated unimodal sensory regions often respond to unforeseen sensory stimuli and exhibit plasticity. The goal of the current investigation was to test evoked responses of primary visual cortex (V1) neurons when an adapting auditory stimulus is applied in isolation. Using extracellular recordings in anesthetized cats, we demonstrate that, unlike the prevailing observation of only slight modulations in the firing rates of the neurons, sound imposition in isolation entirely shifted the peaks of orientation tuning curves of neurons in both supra- and infragranular layers of V1. Our results suggest that neurons specific to either layer dynamically integrate features of sound and modify the organization of the orientation map of V1. Intriguingly, these experiments present novel findings that the mere presentation of a prolonged auditory stimulus may drastically recalibrate the tuning properties of the visual neurons and highlight the phenomenal neuroplasticity of V1 neurons.
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Affiliation(s)
- Nayan Chanauria
- Neurophysiology of Visual System, Département de Sciences Biologiques, Université de Montréal, CP 6128 Succursale Centre-Ville, Montréal, QC H3C 3J7, Canada
| | - Vishal Bharmauria
- Neurophysiology of Visual System, Département de Sciences Biologiques, Université de Montréal, CP 6128 Succursale Centre-Ville, Montréal, QC H3C 3J7, Canada
| | - Lyes Bachatene
- Neurophysiology of Visual System, Département de Sciences Biologiques, Université de Montréal, CP 6128 Succursale Centre-Ville, Montréal, QC H3C 3J7, Canada
| | - Sarah Cattan
- Neurophysiology of Visual System, Département de Sciences Biologiques, Université de Montréal, CP 6128 Succursale Centre-Ville, Montréal, QC H3C 3J7, Canada
| | - Jean Rouat
- Departement de Génie Électrique et Génie Informatique, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Stéphane Molotchnikoff
- Neurophysiology of Visual System, Département de Sciences Biologiques, Université de Montréal, CP 6128 Succursale Centre-Ville, Montréal, QC H3C 3J7, Canada.
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